TY - CHAP
T1 - Physical fitness parameters in the identification of high-potential sepak takraw players
AU - Muazu Musa, Rabiu
AU - P. P. Abdul Majeed, Anwar
AU - Kosni, Norlaila Azura
AU - Abdullah, Mohamad Razali
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020.
PY - 2020
Y1 - 2020
N2 - This chapter evaluates the significance of different physical fitness parameters towards identifying the fitness level of potential sepak takraw players. The discrimination between high and low-fit players was carried out through hierarchical agglomerative cluster analysis (HACA). In addition, a k-nearest neighbour (k-NN) classifier was developed and evaluated towards its efficacy in classifying the fitness nature of the players. It was demonstrated from the study that the proposed methodology could ascertain the fitness level of the players accurately.
AB - This chapter evaluates the significance of different physical fitness parameters towards identifying the fitness level of potential sepak takraw players. The discrimination between high and low-fit players was carried out through hierarchical agglomerative cluster analysis (HACA). In addition, a k-nearest neighbour (k-NN) classifier was developed and evaluated towards its efficacy in classifying the fitness nature of the players. It was demonstrated from the study that the proposed methodology could ascertain the fitness level of the players accurately.
UR - http://www.scopus.com/inward/record.url?scp=85081155666&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-3219-1_5
DO - 10.1007/978-981-15-3219-1_5
M3 - Chapter
AN - SCOPUS:85081155666
T3 - SpringerBriefs in Applied Sciences and Technology
SP - 41
EP - 48
BT - SpringerBriefs in Applied Sciences and Technology
PB - Springer
ER -